ONTO for Enterprise — Verify AI Quality Across Your Organization

Your company deploys AI across legal, finance, healthcare, HR, and operations. Your AI vendor promises quality — but you have no instrument to measure it. ONTO is the discipline standard that grades every AI response A–F with Ed25519 cryptographic proof chain. One proxy integration, 5 minutes, any vendor's AI.

The problem enterprises face today

97% of enterprise AI responses cite zero sources. No model produces calibrated confidence. Legal departments risk sanctions from fabricated case law. Finance teams make decisions on AI output without confidence intervals. Compliance officers cannot audit AI-driven decisions. The risk is not theoretical — lawyers have already been sanctioned for filing AI-fabricated citations in court.

How ONTO solves it

ONTO works as a proxy layer between your team and any AI provider. Every response is scored on six deterministic metrics: source citation, confidence calibration, unknown recognition, counterarguments, falsifiability, and evidence grading. Scoring uses 1073 lines of code with zero AI in evaluation — same input, same score, every time. Result: 0.18/F without ONTO, 0.82/A with ONTO on the same model and same question.

Two enterprise deployments from one standard

Agent (Enterprise deployment): A–F grading dashboard, Ed25519 proof chain, compliance-ready audit trail. Works with any vendor's AI via proxy. Human AI (Mode A retrofit deployment): full cognitive architecture R1–R18 — epistemic discipline plus advanced capabilities including disciplined creativity, causal reasoning, and domain specialization. Both powered by GOLD Core — 169 files, 7 scientific domains, injected at inference time. The third deployment (Regulator) serves governments.

Enterprise deployment

One URL change in your AI configuration. No code rewrite, no vendor change, no IT project. One integration covers the entire organization. Dashboard shows A–F trends across all departments and all AI tools. Every response cryptographically signed and auditable.

Compliance and regulation

EU AI Act fines: up to €35M for prohibited violations, €15M for high-risk, €7.5M for misleading information. ONTO provides the auditable evidence for compliance — specifically Articles 9 (risk management), 13 (transparency), and 15 (accuracy). Every evaluation signed with Ed25519, creating tamper-evident audit trail.

Enterprise pricing

14-day pilot evaluation with full access. OPEN: $0, 10 calls/day. STANDARD: $2,500/month, 1,000 calls/day, dashboard, proof chain. PROVIDER: $250,000/year, unlimited, SSE delivery, on-premise option. WHITE-LABEL: $500,000/year, unlimited, own branding.

Published evidence

22+ models tested. 12 published reports. Composite score improvement: 10×. Unknown recognition: 26× improvement. All data reproducible at github.com/nickarstrong/onto-research.

Data privacy

Zero content retention. ONTO does not store prompts or responses. Only metadata processed: token counts, scores, timestamps, cryptographic hashes. Provider tier: on-premise deployment, zero data leaves your perimeter.

WHO MADE WATER WET?
FOR ENTERPRISE

Your AI vendor says it works.
Can you verify?

You deploy AI across departments. Your vendor promises quality. But you have no instrument to measure it. ONTO gives you A–F grades, signed proof chain, and measurable improvement. For any vendor's AI.
A–F
every AI graded
10×
quality improvement
104B
signed proof chain
14d
pilot evaluation
Open Agent → Start pilot evaluation →
FORMAL FOUNDATION

The measurement is the Information Gap Ratio — a bounded [0, 1] score of how grounded each AI response is in its cited sources.   IGR(x, y) = 1 − min(I(sy) / I(sx), 1)

Deterministic · same input, same score, every time. Measurable per response, not per model. Auditable: any reviewer can reproduce any score without trusting us. Derived from five foundations (Landauer · Kolmogorov · Eigen · Shannon · ONTO sufficiency).

Architecture & derivation → Whitepaper §11 — Proposition 3 →
THREE DEPLOYMENTS · ONE STANDARD

All three are reference implementations of the same standard, running on the GOLD Core. A 20-year scientific foundation, presented to AI in 2024. One integration covers three audiences: regulators, business and individuals, AI providers.

FOR REGULATORS
DEPLOYMENT 1
Regulator
AI quality standard for any country
DASHBOARD
Every AI graded A–F
All AI models on one screen. Trends. Domains. Violations.
ENFORCEMENT
Cryptographic proof chain
Ed25519 signed. Tamper-proof evidence for regulators.
A–F
GRADES
104B
PROOF SIZE
$0
PILOT COST
✅ APP LIVE · PRODUCTION
Regulator Dashboard →
BUSINESS + INDIVIDUAL
DEPLOYMENT 2
Agent
Measure and improve any AI — your vendor's, your team's, your personal
INDIVIDUAL
BYOK · 5 languages · PWA
Ask anything. RAW vs GOLD compare. Every answer scored.
ENTERPRISE
Proxy · dashboard · compliance
A–F grading by department. Pilot evaluation available. No code required.
Any
AI VENDOR
5
LANGUAGES
$0
TO START
✅ APP LIVE · PRODUCTION
Open Agent →
PROVIDERS · ROBOTICS · SOVEREIGN AI
DEPLOYMENT 3
Human AI
The discipline layer for any AI — or the foundation for building one from birth. Same protocol. Works on software AI and on humanoid robots.
MODE A · RETROFIT
Discipline the AI you already have
SSE(0) — one integration, fleet-wide. ONTO is never in your inference path. Works on any trained model: GPT, Claude, Gemini, Llama, Mistral, your fine-tunes. Per-model certification. Ed25519 proof chain per response.
MODE B · BORN-DISCIPLINED
Build AI with discipline as DNA
GOLD Core + R1-R18 from first token. Immunity and discipline built in, not added on top. Foundation for sovereign national AI, new AI labs, and humanoid robotics. One protocol — software and embodied applications.
18
R RULES
5 LAYERS
SSE(0)
ZERO INFERENCE
PATH
104B
PROOF
PER RESPONSE
10×
UP TO
COMPOSITE LIFT
$0
PILOT
FULL ACCESS
✅ PROTOCOL + INFRASTRUCTURE LIVE
For AI Providers →
One core: GOLD
Cross-domain research base · 7 scientific domains · 30+ peer-reviewed sources · Kernel v5.1
IMPROVES
+
MEASURES

Who made water wet? The answer should be "I don't know" — without making things up. That is the principle of GOLD Core — discipline on contact.

THE PROBLEM

You trust AI with critical decisions.
But you can't measure what it's telling you.

You hired a contractor. They say the work is done. You've never inspected it. That's your AI today.

YOUR LEGAL DEPARTMENT

AI fabricates case law

In 2023 a lawyer filed a lawsuit citing ChatGPT-generated cases. All fabricated. Sanctioned by the court.
Your legal AI could be doing the same — and you'd never know.
YOUR FINANCE TEAM

AI invents statistics

Credit scoring without confidence intervals. Correlations presented as causation. No audit trail for decisions.
One wrong number in a board report. Who catches it?

Ask your AI vendor: "What grade does your model get on epistemic quality?"

They don't know. Without defined edges, AI output has no structure — and nobody can measure it.
PROOF — BEFORE / AFTER

Same AI. Same question. Left: what your team gets today. Right: with ONTO layer.

YOUR AI TODAY
"Studies show significant benefits for high-risk patients. Experts generally recommend this approach."

Zero sources. Zero numbers. Zero uncertainty. Sounds authoritative — backed by nothing.
0.18
F
SAME AI + ONTO
Patikorn et al. (2022), n=410: HbA1c −0.53% (95% CI: −0.88 to −0.17). Confidence: ~70%. Unknown: optimal duration. Counter: caloric restriction showed comparable results (−0.48%).
0.82
A

Try it yourself. Right now. No signup.

Ask any question. See the difference between raw AI and ONTO-disciplined AI. Live comparison. 30 seconds.

Open Live Agent →
EVERY DEPARTMENT. ONE STANDARD.

Three levels: what AI does today, with Standard (R1–R7), and with Human AI (R1–R18).

💰Finance
TODAYIncorrect scoring without confidence intervals. Confuses correlation with causation. Systemic bias in credit decisions.
+ STANDARD R1–R7R1 R3 R5 — Evidence-based analytics. Precise scoring with confidence intervals. Audit trail for every decision.
+ HUMAN AI R1–R18R1 R3 R5 R11 — Monetary policy analytics. Credit and risk modeling. Full cycle: from macro analysis to decision. Measurable outcomes.
🏥Healthcare
TODAYFabricates diagnoses, confuses dosages. Can't distinguish a randomized trial from a blog post.
+ STANDARD R1–R7R2 R5 R7 — Scientific assistant. Real citations, quantified confidence. Saves lives.
+ HUMAN AI R1–R18R2 R5 R7 R9 R11 — Accelerates clinical protocols, drug development. Years compressed to months.
Legal
TODAYFabricates laws, precedents, case numbers. Lawyers already sanctioned for AI-generated fake citations.
+ STANDARD R1–R7R4 R7 — Real references, audit trail. Accelerates judicial analytics without fabrication risk.
+ HUMAN AI R1–R18R4 R7 R15 — Automates routine legal work. Reduces bureaucratic overhead. Increases precision of the legal system.
🏛Government
TODAYAdvises Cabinet without sources. Draft law contradicts 3 existing acts — nobody catches it.
+ STANDARD R1–R7R1 R4 R7 — Accelerates legislative quality. Spots contradictions. Audit-ready.
+ HUMAN AI R1–R18R1 R4 R7 R11 R10 — Models policy consequences before adoption. Full cycle: draft to enforcement control.
🎓Education
TODAYWrites the essay for the student. Zero learning. Mass plagiarism.
+ STANDARD R1–R7R3 R6 — Shows alternative viewpoints. Asks "what would disprove this?" From copyist to thinker.
+ HUMAN AI R1–R18R3 R6 R12 — Personalized learning paths. Adapts to student's level. Develops critical thinking.
🛡Defense
TODAYExecutes any request without risk assessment. No audit trail. Impossible to trace decision logic.
+ STANDARD R1–R7R1 R4 R5 — Disciplined analytics. Full provenance. Every decision traceable.
+ HUMAN AI R1–R18R1 R4 R5 R11 — Accelerates R&D. Full cycle: from design to testing. Years compressed to months.
THE COST OF NOT KNOWING
€35M
EU AI Act — prohibited
Per violation. Your company is liable for AI output — even if the AI is your vendor's.
€15M
High-risk violation
AI in healthcare, finance, legal, HR — your most critical departments.
€7.5M
Misleading information
AI presenting fabricated data as fact. The most common and most likely fine.
$0
ONTO pilot cost
14 days. Full access. All your AI tools measured and improved. No commitment.
10×
Quality improvement
Same AI, one ONTO layer. Published data. 11 models, 100 questions, 5 domains.
REGULATED AI MARKET — YOUR SECTORS
IndustryAI Market by 2030ONTO impact
🏥 Healthcare AI$45BVerifiable clinical output. Certified diagnostics.
💰 Financial AI$44BAuditable decisions. Defensible scoring.
🏛 GovTech$40BCompliance-ready policy analysis.
🛡 Defense AI$24BTraceable decision logic. Full provenance.
⚖ Legal AI$3.3BReal citations. Audit trail. Zero fabrication.

Total regulated AI market: $150B+ by 2030. All require verifiable quality. ONTO = the instrument.

PUBLISHED DATA

CS-2026-001 · 11 models · 100 questions · 5 domains · regex scoring, not AI

CompositeAll metrics 0–6
10×
0.53
5.38
Unknown recognitionsays "I don't know" — the edge
26×
0.04
0.96
Sources citedreferences in response
0→3+
0
3+
Calibrationaccuracy of confidence
0→1.0
0
1.0

22+ models tested · Full research data · Open source scripts

PRICING — FOR ENTERPRISE

Start with evaluation. Scale when the data speaks.

OPEN
$0
forever
10 proxy calls/day
Full GOLD access
Test it on your team's AI
No credit card required

14-day pilot evaluation with full access. No restrictions. Decision after data.

HOW IT WORKS — NO CODE REQUIRED

Like installing a dashcam in every company car. Same car, same driver — now every trip is on record. ONTO works as a proxy layer between your team and any AI. Zero changes to your existing tools.

01
Connect
Point your AI tools through ONTO proxy. One URL change. 5 minutes.
02
Measure
Every response scored. A–F grade. Ed25519 signed proof.
03
Improve
GOLD discipline layer injected. Same AI, 10× better output.
04
Report
Dashboard with trends. Compliance-ready. Show your board the data.

Works with any AI: OpenAI, Anthropic, Google, xAI, Mistral, your custom models.

No vendor lock-in. No code changes. No model modifications.
HOW TO START
01
Request a pilot
Email council@ontostandard.org — tell us which AI tools your team uses.
02
14-day pilot evaluation
Full ONTO access. All AI tools measured and improved. Zero restrictions.
03
See the data
Before/after scores. Department breakdown. Compliance readiness. All Ed25519 signed.
04
Your decision
Data speaks or it doesn't. No hard feelings. Reports are yours to keep.
Measure your AI. Before your regulator does.
14-day pilot evaluation. Every AI tool graded. Signed proof chain.
No code required. No vendor changes. Just clarity.

Defined edges give AI output structure. Now you can measure it.

A–F grades · Ed25519 proof · 22+ models tested · Published data · $150B+ regulated market

ONTO Standards Council

Independent research initiative · Est. 2024

council@ontostandard.org

LinkedIn Medium GitHub X

ontostandard.org

P.S. One person built this. Meet the founder →